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CSL4040: Social Networks
The course of social networks is an Elective course at 400 level offered for B. Tech students. The course will introduce the domain of social network analysis and research problems therein. A student will understand the mathematical foundations required for addressing the problems related to social network analysis. Working with the data, algorithms and writing codes are inherent to the course syllabus. Python will be used for the programming language. In Autumn 2022, the course is co-offered alongside CSL7390: Social Network Analysis
Jul 24, 2022
CSL7390: Social Network Analysis
The course of social network analysis is an Elective course at 700 level offered for M. Tech, Ph.D. and Final Year B. Tech students. The course will introduce the domain of social network analysis and research problems therein. A student will understand the mathematical foundations required for addressing the problems related to social network analysis. Working with the data, algorithms and writing codes are inherent to the course syllabus. Python will be used for the programming language. In Autumn 2022, the course is co-offered alongside CSL4040: Social Networks
Jul 24, 2022
CSL7630: Algorithms for Big Data
Objective of this course is to learn algorithmic techniques developed for handling large amount of data and emphasize on both theoretical as well as practical aspect of it.
Last updated on May 11, 2022
CSL2060: Software Engineering
The course of Software Engineering is a core course for B.Tech CSE program. It is a 2000 level course for 2nd year UG. The course will introduce formal methods of software engineering. It will also introduce the modern software engineering to the students.
Jan 3, 2022
CSL7630: Algorithms for Big Data
Objective of this course is to learn algorithmic techniques developed for handling large amount of data and emphasize on both theoretical as well as practical aspect of it.
Jan 4, 2022
CSL7390: Social Network Analysis
The course of social network analysis is an Elective course at 700 level offered for M. Tech, Ph.D. and Final Year B. Tech students. The course will introduce the domain of social network analysis and research problems therein. A student will understand the mathematical foundations required for addressing the problems related to social network analysis. Working with the data, algorithms and writing codes are inherent to the course syllabus. Python will be used for the programming language.
Jul 24, 2021
CSL7030: Algorithms for Big Data (winter 2020)
Objective of this course is to learn algorithmic techniques developed for handling large amount of data and emphasize on both theoretical as well as practical aspect of it.
Nov 30, 2020
CS223: Software Engineering
The objective of the course is to understand the best practices in software engineering and develop the necessary skills to handle software projects in a principled way.
Last updated on Jan 3, 2020
CS314: Algorithm Design & Analysis
Objective of this course is to learn different algorithm design techniques, advanced data structures and how to analyze complexity of them.
(Pre-requisite: CS112, CS121, CS222)
Last updated on Jul 30, 2019
CSL7030: Algorithms for Big Data (fall 2019)
Objective of this course is to learn algorithmic techniques developed for handling large amount of data and emphasize on both theoretical as well as practical aspect of it.
Last updated on Jul 30, 2019
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